Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems

Decomposition methods play a critical role in cooperative co-evolutionary algorithms (CCEAs) for solving large-scale optimization problems. Although some well-performing decomposition methods have been designed based on the interactions among variables (IaV), their grouping accuracy is still limited...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems Jg. 53; H. 4; S. 1 - 13
Hauptverfasser:	Zhang, Xin, Ding, Bo-Wen, Xu, Xin-Xin, Li, Jian-Yu, Zhan, Zhi-Hui, Qian, Pengjiang, Fang, Wei, Lai, Kuei-Kuei, Zhang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Computer science Cooperative co-evolutionary algorithms (CCEAs) Decomposition decomposition methods Evolutionary algorithms evolutionary computation Fault tolerance Fault tolerant systems Function generators large-scale optimization problems (LSOPs) Optimization Particle separators Research and development Roundoff error Roundoff errors Signal generators
ISSN:	2168-2216, 2168-2232
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!